A credit-aware clustering scheme for the proximate sharing of geo data downloading

Chung-Ming Huang, Duy Tuan Dao, Ping Yi Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mobile Social Network (MSN) can enable many services, such as letting people in an MSN share some useful information during the touring journey. In this work, a clustering scheme is proposed to allow a group of persons, who are in the same MSN and are within the WiFi hot spot' signal coverage of the cluster leader who enables his handheld device's WiFi hot spot function, to share the nearby Point Of Interests' (POIs') data that are downloaded by the cluster leader through his handheld device's 3G/3.5G/4G cellular network interface. That is, it belongs to the proximate sharing of Location-based Service (LBS) data downloading. This work adopts an MSN-based mechanism to organize touring groups in which each group's leader can share his downloaded POIs' data with his group members. A credit-based clustering scheme was proposed to organize a group of users who belong to the MSN and are nearby with each other for a while during their touring journey. In this way, the group leader can get some credits and each group member needs to pay some credits to motivate persons to have the sharing and reach the goal of fairness. Our proposed scheme not only can reach the fairness for the credit concern but also can more evenly distribute power consumption and reduce the power consumption according to the performance analysis.

Original languageEnglish
Title of host publication2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509067961
DOIs
Publication statusPublished - 2017 Dec 15
Event27th International Telecommunication Networks and Applications Conference, ITNAC 2017 - Melbourne, Australia
Duration: 2017 Nov 222017 Nov 24

Publication series

Name2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017
Volume2017-January

Other

Other27th International Telecommunication Networks and Applications Conference, ITNAC 2017
CountryAustralia
CityMelbourne
Period17-11-2217-11-24

Fingerprint

Electric power utilization
Location based services
Interfaces (computer)

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Software
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Cite this

Huang, C-M., Dao, D. T., & Lu, P. Y. (2017). A credit-aware clustering scheme for the proximate sharing of geo data downloading. In 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017 (pp. 1-6). (2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ATNAC.2017.8215357
Huang, Chung-Ming ; Dao, Duy Tuan ; Lu, Ping Yi. / A credit-aware clustering scheme for the proximate sharing of geo data downloading. 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-6 (2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017).
@inproceedings{dc6593070a344aa9a26fc678020b6104,
title = "A credit-aware clustering scheme for the proximate sharing of geo data downloading",
abstract = "Mobile Social Network (MSN) can enable many services, such as letting people in an MSN share some useful information during the touring journey. In this work, a clustering scheme is proposed to allow a group of persons, who are in the same MSN and are within the WiFi hot spot' signal coverage of the cluster leader who enables his handheld device's WiFi hot spot function, to share the nearby Point Of Interests' (POIs') data that are downloaded by the cluster leader through his handheld device's 3G/3.5G/4G cellular network interface. That is, it belongs to the proximate sharing of Location-based Service (LBS) data downloading. This work adopts an MSN-based mechanism to organize touring groups in which each group's leader can share his downloaded POIs' data with his group members. A credit-based clustering scheme was proposed to organize a group of users who belong to the MSN and are nearby with each other for a while during their touring journey. In this way, the group leader can get some credits and each group member needs to pay some credits to motivate persons to have the sharing and reach the goal of fairness. Our proposed scheme not only can reach the fairness for the credit concern but also can more evenly distribute power consumption and reduce the power consumption according to the performance analysis.",
author = "Chung-Ming Huang and Dao, {Duy Tuan} and Lu, {Ping Yi}",
year = "2017",
month = "12",
day = "15",
doi = "10.1109/ATNAC.2017.8215357",
language = "English",
series = "2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017",
address = "United States",

}

Huang, C-M, Dao, DT & Lu, PY 2017, A credit-aware clustering scheme for the proximate sharing of geo data downloading. in 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017. 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 27th International Telecommunication Networks and Applications Conference, ITNAC 2017, Melbourne, Australia, 17-11-22. https://doi.org/10.1109/ATNAC.2017.8215357

A credit-aware clustering scheme for the proximate sharing of geo data downloading. / Huang, Chung-Ming; Dao, Duy Tuan; Lu, Ping Yi.

2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6 (2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A credit-aware clustering scheme for the proximate sharing of geo data downloading

AU - Huang, Chung-Ming

AU - Dao, Duy Tuan

AU - Lu, Ping Yi

PY - 2017/12/15

Y1 - 2017/12/15

N2 - Mobile Social Network (MSN) can enable many services, such as letting people in an MSN share some useful information during the touring journey. In this work, a clustering scheme is proposed to allow a group of persons, who are in the same MSN and are within the WiFi hot spot' signal coverage of the cluster leader who enables his handheld device's WiFi hot spot function, to share the nearby Point Of Interests' (POIs') data that are downloaded by the cluster leader through his handheld device's 3G/3.5G/4G cellular network interface. That is, it belongs to the proximate sharing of Location-based Service (LBS) data downloading. This work adopts an MSN-based mechanism to organize touring groups in which each group's leader can share his downloaded POIs' data with his group members. A credit-based clustering scheme was proposed to organize a group of users who belong to the MSN and are nearby with each other for a while during their touring journey. In this way, the group leader can get some credits and each group member needs to pay some credits to motivate persons to have the sharing and reach the goal of fairness. Our proposed scheme not only can reach the fairness for the credit concern but also can more evenly distribute power consumption and reduce the power consumption according to the performance analysis.

AB - Mobile Social Network (MSN) can enable many services, such as letting people in an MSN share some useful information during the touring journey. In this work, a clustering scheme is proposed to allow a group of persons, who are in the same MSN and are within the WiFi hot spot' signal coverage of the cluster leader who enables his handheld device's WiFi hot spot function, to share the nearby Point Of Interests' (POIs') data that are downloaded by the cluster leader through his handheld device's 3G/3.5G/4G cellular network interface. That is, it belongs to the proximate sharing of Location-based Service (LBS) data downloading. This work adopts an MSN-based mechanism to organize touring groups in which each group's leader can share his downloaded POIs' data with his group members. A credit-based clustering scheme was proposed to organize a group of users who belong to the MSN and are nearby with each other for a while during their touring journey. In this way, the group leader can get some credits and each group member needs to pay some credits to motivate persons to have the sharing and reach the goal of fairness. Our proposed scheme not only can reach the fairness for the credit concern but also can more evenly distribute power consumption and reduce the power consumption according to the performance analysis.

UR - http://www.scopus.com/inward/record.url?scp=85046634188&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85046634188&partnerID=8YFLogxK

U2 - 10.1109/ATNAC.2017.8215357

DO - 10.1109/ATNAC.2017.8215357

M3 - Conference contribution

T3 - 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017

SP - 1

EP - 6

BT - 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Huang C-M, Dao DT, Lu PY. A credit-aware clustering scheme for the proximate sharing of geo data downloading. In 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-6. (2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017). https://doi.org/10.1109/ATNAC.2017.8215357